The AI machine learning model to detect a disorder that typically affects babies who are born early was developed by a team of University of Rochester researchers.

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst ...

However, by the late 1970s, there was disappointment that the two main approaches to computing in medicine — rule-based systems and matching, or pattern recognition, systems — had not been as ...

A machine learning model uses cloud type and cloud cover to predict rapid changes in surface solar irradiance, including short-term “ramp” events that affect grid stability. When tested across 15 ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine learning in regulated finance, governance alignment, fairness, compliance, ...

The AI and Machine Learning major is one of two specialized majors in Purdue University’s 100% online Master of Science in Artificial Intelligence program. This major equips you with advanced ...